{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from ggplot import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Look and Feel - Themes\n",
    "Like everything else, you can apply a *theme* layer to your ggplots in order to make them look different. ggplot comes with 3 built in themes:\n",
    "\n",
    "- `theme_gray` (default)\n",
    "- `theme_bw`\n",
    "- `theme_xkcd`\n",
    "- `theme_538`\n",
    "\n",
    "See examples below!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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wma+ZcsabZGxuZGx+5Gz2ZGx+ZGxullK+ZnUk4+Pj2bdvXzZu3Jh77703yXeK6aVLl9LT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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f30fb90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (284364709)>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(diamonds, aes(x='price')) + geom_histogram()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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wma+ZcsabZGxuZGx+5Gz2ZGx+ZGxullK+ZnUk4+Pj2bdvXzZu3Jh77703yXeK6aVLl9LT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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ff4c0d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (285191613)>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(diamonds, aes(x='price')) + geom_histogram() + theme_gray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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yZs2aieev1WpulbgAXntLCjSDGWMqmDOazYyVq9K4TP/0h4aGsnHjxnz961+f7qU0zRe+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\nohgAgOKJYgAAivf/AQyfubSS1roBAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1101d8c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (285663657)>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(diamonds, aes(x='price')) + geom_histogram() + theme_bw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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tVlPNhxBSEHLFTlH0qObj8/kwf/583HrrrfK2VCqFJUuWwO/3o3fv3hgyZAhi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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1106d00d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (285140085)>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(diamonds, aes(x='price')) + geom_histogram() + theme_xkcd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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pJUuW9HgfeltnfZf+d8GHS1VUVFz38/vSf8N58+Zpz549Pbia/iM2Nlbjx4+X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\nABggMAEAMEBgAgBg4P8BywXXP9mnQb0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1105f5910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (285606021)>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(diamonds, aes(x='price')) + geom_histogram() + theme_538()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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